Назад
3 часа назад

Forward Deployed Engineer (AI)

100 000 - 150 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US

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TL;DR

Forward Deployed Engineer (AI): Delivering technical solutions and driving customer value for the Faros engineering data platform with an accent on building integrations, data pipelines, and custom dashboards. Focus on leveraging AI tools to solve complex technical problems and influencing product development through field-tested insights.

Location: Must be based in or able to work from San Mateo, CA (Hybrid)

Compensation: $100,000 – $150,000

Company

Faros provides an engineering data platform that offers visibility and insights across the software development lifecycle to help engineering teams move faster.

What you will do

  • Work directly with customers to understand their engineering workflows and technical pain points.
  • Build and configure custom integrations, dashboards, and data pipelines.
  • Lead technical evaluations and POCs of the platform.
  • Communicate technical findings and solutions to diverse stakeholders.
  • Use AI coding assistants and modern tooling as a core part of the development process.
  • Identify patterns in customer engagements to influence the product roadmap.

Requirements

  • Bachelor or Master's degree in Computer Science, Engineering, or a related technical field.
  • Strong programming fundamentals in at least one language such as Python or JavaScript.
  • Proven experience using AI coding assistants, LLM APIs, or AI-powered tools.
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • High tolerance for ambiguity and ability to define concrete solutions for vague problems.
  • Genuine customer orientation and interest in solving real-world technical puzzles.

Culture & Benefits

  • Ownership-driven culture where employees act like founders.
  • Emphasis on craftsmanship, transparency, and choosing the hard right over the easy wrong.
  • Fast-paced environment with high intensity and urgency.
  • Focus on meaningful transformation and solving complex engineering challenges.

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